论文标题
如果我不喜欢任何选择怎么办？参与算法设计的偏好启发限制
What If I Don't Like Any Of The Choices? The Limits of Preference Elicitation for Participatory Algorithm Design
论文作者
论文摘要
参与性算法设计的新兴方法提出了收集和汇总个人利益相关者的偏好，以创建算法系统，以说明这些利益相关者的价值观。我们认为，使用算法学生分配作为案例研究，我们认为在有限资源分配中对个人喜好满意度进行优化实际上可能会抑制向社会和分配正义方面的进步。个人偏好可能是一个有用的信号，但应扩展以支持更具表现力和包容性的民主参与形式。
Emerging methods for participatory algorithm design have proposed collecting and aggregating individual stakeholder preferences to create algorithmic systems that account for those stakeholders' values. Using algorithmic student assignment as a case study, we argue that optimizing for individual preference satisfaction in the distribution of limited resources may actually inhibit progress towards social and distributive justice. Individual preferences can be a useful signal but should be expanded to support more expressive and inclusive forms of democratic participation.
